The Calgary Brain Bank
Bibliographic record
Abstract
With the financial assistance from two donors, we have established a neurodegenerative disease brain bank at the University of Calgary. At autopsy, tissues from anatomically specific regions are frozen in liquid nitrogen vapour and stored in small, bar-coded cryovials. Cases include patients with dementia, movement disorders, demyelinating diseases, and normal controls. We prepare additional FFPE blocks for diagnosis or banking. Sampling includes all major areas of cortex and most subcortical structures. All brains, including “normal” controls, are characterized with a basic set of stains and major classification schemata are used for Alzheimer and Lewy body diseases. These tissues are available to investigators with IRB-approved research on human tissues Control tissue is important in the study of age-associated neurodegeneration. We preserve tissues from areas of brain that either are severely or minimally affected by neurodegeneration (e.g. in Alzheimer disease, Brodmann areas 9 and 17, respectively). In our “normal” aging cohort, which includes patients with no described neurodegenerative diseases, we find frequent evidence of low-stage Alzheimer or Lewy body related pathological changes. We also find relatively frequent small vessel disease, which in part relates to our preferential selection of patient’s who died suddenly. In preliminary studies, we have examined amyloid plaque structure with confocal microscopy using beta-sheet sensitive dyes and have studied the distribution of different chaperones in normal brain.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.224 | 0.104 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".